METHOD FOR TRACKING OBJECT BY USING CONVOLUTIONAL NEURAL NETWORK INCLUDING TRACKING NETWORK AND COMPUTING DEVICE USING THE SAME

• 1. 一种基于卷积神经网络的目标跟踪方法及装置 [P] . 中国专利： CN106846364B . 2019.09.24
• 2. 适用于硬件的高速卷积神经网络目标跟踪方法和装置 [P] . 中国专利： CN108022257A . 2018-05-11
• 3. A method of tracking an object using a CNN including a tracking network, and a device using it {METHOD FOR TRACKING OBJECT BY USING CONVOLUTIONAL NEURAL NETWORK INCLUDING TRACKING NETWORK AND COMPUTING [P] . JP6869562B2 . 2021-05-12

  机译： 一种方法，使用包括跟踪网络的CNN跟踪对象，以及使用它的设备{通过使用卷积神经网络跟踪对象的方法，包括跟踪网络和计算

• 4. CNNConvolutional Neural Network METHOD FOR ACQUIRING BOUNDING BOX CORRESPONDING TO AN OBJECT IN AN IMAGE BY USING CONVOLUTIONAL NEURAL NETWORK INCLUDING TRACKING NETWORK AND COMPUTING DEVICE USING THE SAME [P] . 韩国专利： KR20190041923A . 2019-04-23

  机译： 卷积神经网络的卷积神经网络方法

• 5. CNN METHOD FOR TRACKING OBJECT BY USING CONVOLUTIONAL NEURAL NETWORK INCLUDING TRACKING NETWORK AND COMPUTING DEVICE USING THE SAME [P] . KR102296507B1 . 2021-09-02

  机译： 通过使用卷积神经网络跟踪对象的CNN方法，包括跟踪网络和使用相同的计算设备

• 1. Toward Coordination Control of Multiple Fish-Like Robots:Real-Time Vision-Based Pose Estimation and Tracking via Deep Neural Networks [J] . Tianhao Zhang, Jiuhong Xiao, Liang Li, 自动化学报：英文版 . 2021,第012期
• 2. Toward Coordination Control of Multiple Fish-Like Robots: Real-Time Vision-Based Pose Estimation and Tracking via Deep Neural Networks [J] . Tianhao Zhang, Jiuhong Xiao, Liang Li, 自动化学报（英文版） . 2021,第012期
• 3. Robust Object Tracking Using Manifold Regularized Convolutional Neural Networks [J] . Hu Hongwei, Ma Bo, Shen Jianbing, IEEE transactions on multimedia . 2019,第2期
• 4. Reliability verification-based convolutional neural networks for object tracking [J] . Xiaopeng Hu, Jingting Li, Yan Yang, Image Processing, IET . 2019,第1期
• 5. Exploiting weak mask representation with convolutional neural networks for accurate object tracking [J] . Huang Jianglei, Zhou Wengang, Tian Qi, Multimedia Tools and Applications . 2019,第15期
• 6. A Novel Method for Small Object Tracking Based on Super-Resolution Convolutional Neural Network [C] . Weichun Liu, Xiaoan Tang, Xiaoyuan Ren, International Conference on Information Systems and Computer Aided Education . 2019
• 7. Object Tracking Using Convolutional and Recurrent Neural Network [D] . Deshpande, Mayuri. 2018
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• 9. Volume 2, Issue 3, Special issue on Recent Advances in Engineering Systems (Published Papers) Articles Transmit / Received Beamforming for Frequency Diverse Array with Symmetrical frequency offsets Shaddrack Yaw Nusenu Adv. Sci. Technol. Eng. Syst. J. 2(3), 1-6 (2017); View Description Detailed Analysis of Amplitude and Slope Diffraction Coefficients for knife-edge structure in S-UTD-CH Model Eray Arik, Mehmet Baris Tabakcioglu Adv. Sci. Technol. Eng. Syst. J. 2(3), 7-11 (2017); View Description Applications of Case Based Organizational Memory Supported by the PAbMM Architecture Martín, María de los Ángeles, Diván, Mario José Adv. Sci. Technol. Eng. Syst. J. 2(3), 12-23 (2017); View Description Low Probability of Interception Beampattern Using Frequency Diverse Array Antenna Shaddrack Yaw Nusenu Adv. Sci. Technol. Eng. Syst. 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• 2. Maximum Power Point Tracking Control Using Neural Networks for Stand-Alone Photovoltaic Systems [J] . Rihab Mahjoub Essefi ,Mansour Souissi ,Hsan Hadj Abdallah . 现代非线性理论与应用（英文） . 2014,第3期
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